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Data · dataset · 2022

Using Sentiment Analysis in assessing learner performance

Listed in Borealis

Sentiment analysis, first designed for asssessing short comments in social media and web sites, is now showing promise as a means to analyze the conversational fragments found in therapeutic conversations in nursing school.

Description

It provides a simple yet cost-effective overview of the discourse and associated sentiments or moods expressed. This was part of a TTalk conversational assessment project

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 70%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/IHUJUW12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4602enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:medicine-health-and-life-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0